
Pedro Rodrigues contributed to the docker/mcp-registry repository by implementing a remote MCP server configuration for Supabase, enabling AI-driven database management through a secure OAuth-authenticated endpoint. His work leveraged API integration, backend development, and database management skills, using Markdown and YAML for documentation and configuration. Pedro also led a structural refactor by renaming the top-level directory to better align with the project’s purpose, improving clarity and maintainability for future contributors. Over two months, he focused on foundational engineering tasks that established secure, modular infrastructure for AI-assisted operations, demonstrating depth in backend architecture and thoughtful project organization without addressing bug fixes.
November 2025 focused on improving project clarity and maintainability for the docker/mcp-registry repo. Delivered a major structural refactor by renaming the top-level directory from 'supabase-mcp-server' to 'supabase', aligning the project with its purpose and simplifying onboarding for contributors. No major bugs fixed this month; the reorg was planned as a low-risk improvement to support future growth and maintainability.
November 2025 focused on improving project clarity and maintainability for the docker/mcp-registry repo. Delivered a major structural refactor by renaming the top-level directory from 'supabase-mcp-server' to 'supabase', aligning the project with its purpose and simplifying onboarding for contributors. No major bugs fixed this month; the reorg was planned as a low-risk improvement to support future growth and maintainability.
October 2025: Delivered Supabase AI Assist remote MCP server configuration in docker/mcp-registry, enabling AI-driven database management via a remote MCP endpoint and OAuth-secured transport. This work establishes the foundation for AI-assisted operations and automation within the MCP registry.
October 2025: Delivered Supabase AI Assist remote MCP server configuration in docker/mcp-registry, enabling AI-driven database management via a remote MCP endpoint and OAuth-secured transport. This work establishes the foundation for AI-assisted operations and automation within the MCP registry.

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